194 search results - page 24 / 39 » Learning to rank query reformulations |
129
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MM
2004
ACM
15 years 7 months ago
2004
ACM
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
123
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ICDM
2010
IEEE
14 years 11 months ago
2010
IEEE
We study the retrieval task that ranks a set of objects for a given query in the pairwise preference learning framework. Recently researchers found out that raw features (e.g. word...
246
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ICDE
2009
IEEE
16 years 3 months ago
2009
IEEE
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
87
Voted
AIRS
2005
Springer
15 years 7 months ago
2005
Springer
Query expansion techniques generally select new query terms from a set of top ranked documents. Although a user’s manual judgment of those documents would much help to select goo...
128
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KDD
2010
ACM
15 years 5 months ago
2010
ACM
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...